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. 2017 Apr 6;8(3):260–270. doi: 10.1111/1759-7714.12436

Table 4.

Multivariable logistic regression analyses of CT features predicting the presence of EGFR mutation in lung adenocarcinoma

Variable P Odds ratio 95% CI
Shape
Round/oval Reference NA
Irregular 0.807 1.3 0.366, 2.187
Border definition
Well defined Reference NA
Poorly defined 0.865 1.083 0.434, 2.700
Margins
Smooth Reference NA
Lobulated/spiculated 0.838 1.091 0.472, 2.520
Cavitation/bubble‐like lucency
+ 0.843 1.008 0.474, 2.496
Reference NA
Air bronchogram
+ 0.260 1.584 0.711, 3.528
Reference NA
Thickening of the adjacent pleura
+ 0.443 0.715 0.303, 1.687
Reference NA
Pleural retraction
+ 0.176 1.607 0.809, 3.192
Reference NA
Vascular convergence
+ 0.771 1.145 0.461, 2.841
Reference NA
Lymphadenopathy
+ 0.298 1.696 0.627, 4.590
Reference NA
GGO proportion
GGO negative Reference NA
Any GGO 0.030 2.746 1.101, 6.849
Lobe
Upper lobes 0.096 1.806 0.900, 3.624
Lower lobes Reference NA

CI, confidence interval; CT, computed tomography; EGFR, epidermal growth factor receptor; GGO, ground‐glass opacity; NA, not applicable.